Use of Artificial Intelligence to Predict Complications Following Abdominal Aortic Surgery
Implantation of an Endovascular Prosthesis for the Treatment of Abdominal Aortic Aneurysms: Use of a Machine Learning Model From CT Images to Predict Complications
Groupe Hospitalier de la Rochelle Ré Aunis
300 participants
Apr 14, 2025
OBSERVATIONAL
Conditions
Summary
Abdominal aortic aneurysm, a condition characterised by an increase in the diameter of the aorta, can be treated either surgically or endovascularly. In the latter, an endoprosthesis consisting of a metal spring covered with an impermeable fabric is inserted through an artery and deployed inside the aorta. This new method appears to be less invasive than surgery, but its long-term results are not yet fully understood. As a result, patients who have undergone this treatment are monitored by their surgeon to ensure that there is no endoleak. Several research teams have proposed analysing medical images to predict this risk of endoleak. Doctors are now trying to use artificial intelligence to automate the analysis of these images.
Eligibility
Inclusion Criteria1
- Treated for an abdominal aortic aneurysm through endovascular prosthesis implantation
Exclusion Criteria2
- Underwent intraoperative embolization of the inferior mesenteric artery or aneurysmal sac
- Refuse the use of their data
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Interventions
An endoprosthesis consisting of a metal spring covered with an impermeable fabric is inserted through an artery and deployed inside the aorta.
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT06884397